Overview

Dataset statistics

Number of variables44
Number of observations384
Missing cells3439
Missing cells (%)20.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.1 KiB
Average record size in memory376.3 B

Variable types

Categorical22
Text6
DateTime4
Unsupported7
Numeric4
Boolean1

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),위생업태명,남성종사자수,여성종사자수,영업장주변구분명,등급구분명,급수시설구분명,총인원,본사종업원수,공장사무직종업원수,공장판매직종업원수,공장생산직종업원수,건물소유구분명,보증액,월세액,다중이용업소여부,시설총규모,전통업소지정번호,전통업소주된음식,홈페이지
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-18381/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업태구분명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
남성종사자수 is highly imbalanced (62.8%)Imbalance
여성종사자수 is highly imbalanced (63.6%)Imbalance
영업장주변구분명 is highly imbalanced (68.1%)Imbalance
등급구분명 is highly imbalanced (71.5%)Imbalance
급수시설구분명 is highly imbalanced (86.9%)Imbalance
총인원 is highly imbalanced (59.5%)Imbalance
공장판매직종업원수 is highly imbalanced (52.1%)Imbalance
보증액 is highly imbalanced (52.6%)Imbalance
월세액 is highly imbalanced (52.6%)Imbalance
시설총규모 is highly imbalanced (59.3%)Imbalance
인허가취소일자 has 384 (100.0%) missing valuesMissing
폐업일자 has 156 (40.6%) missing valuesMissing
휴업시작일자 has 384 (100.0%) missing valuesMissing
휴업종료일자 has 384 (100.0%) missing valuesMissing
재개업일자 has 384 (100.0%) missing valuesMissing
전화번호 has 131 (34.1%) missing valuesMissing
소재지면적 has 146 (38.0%) missing valuesMissing
도로명주소 has 75 (19.5%) missing valuesMissing
도로명우편번호 has 76 (19.8%) missing valuesMissing
좌표정보(X) has 10 (2.6%) missing valuesMissing
좌표정보(Y) has 10 (2.6%) missing valuesMissing
다중이용업소여부 has 144 (37.5%) missing valuesMissing
전통업소지정번호 has 384 (100.0%) missing valuesMissing
전통업소주된음식 has 384 (100.0%) missing valuesMissing
홈페이지 has 384 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 8 (2.1%) zerosZeros

Reproduction

Analysis started2024-05-11 01:44:10.855255
Analysis finished2024-05-11 01:44:13.758858
Duration2.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3040000
384 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 384
100.0%

Length

2024-05-11T01:44:13.997901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:14.313915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 384
100.0%

관리번호
Text

UNIQUE 

Distinct384
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T01:44:14.712317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters8448
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique384 ?
Unique (%)100.0%

Sample

1st row3040000-113-1996-00379
2nd row3040000-113-1998-00380
3rd row3040000-113-1998-00501
4th row3040000-113-1999-00394
5th row3040000-113-1999-00417
ValueCountFrequency (%)
3040000-113-1996-00379 1
 
0.3%
3040000-113-1998-00380 1
 
0.3%
3040000-113-2020-00021 1
 
0.3%
3040000-113-2020-00020 1
 
0.3%
3040000-113-2020-00019 1
 
0.3%
3040000-113-2020-00018 1
 
0.3%
3040000-113-2020-00017 1
 
0.3%
3040000-113-2020-00016 1
 
0.3%
3040000-113-2020-00015 1
 
0.3%
3040000-113-2020-00014 1
 
0.3%
Other values (374) 374
97.4%
2024-05-11T01:44:15.554693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3767
44.6%
- 1152
 
13.6%
1 1129
 
13.4%
3 886
 
10.5%
2 667
 
7.9%
4 469
 
5.6%
9 93
 
1.1%
7 82
 
1.0%
5 77
 
0.9%
6 76
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7296
86.4%
Dash Punctuation 1152
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3767
51.6%
1 1129
 
15.5%
3 886
 
12.1%
2 667
 
9.1%
4 469
 
6.4%
9 93
 
1.3%
7 82
 
1.1%
5 77
 
1.1%
6 76
 
1.0%
8 50
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 1152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8448
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3767
44.6%
- 1152
 
13.6%
1 1129
 
13.4%
3 886
 
10.5%
2 667
 
7.9%
4 469
 
5.6%
9 93
 
1.1%
7 82
 
1.0%
5 77
 
0.9%
6 76
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3767
44.6%
- 1152
 
13.6%
1 1129
 
13.4%
3 886
 
10.5%
2 667
 
7.9%
4 469
 
5.6%
9 93
 
1.1%
7 82
 
1.0%
5 77
 
0.9%
6 76
 
0.9%

인허가일자
Date

Distinct363
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1996-04-19 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T01:44:16.025731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:44:16.428656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing384
Missing (%)100.0%
Memory size3.5 KiB

영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
3
228 
1
156 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 228
59.4%
1 156
40.6%

Length

2024-05-11T01:44:16.855341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:17.289878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 228
59.4%
1 156
40.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
228 
영업/정상
156 

Length

Max length5
Median length2
Mean length3.21875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 228
59.4%
영업/정상 156
40.6%

Length

2024-05-11T01:44:17.647734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:17.953352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 228
59.4%
영업/정상 156
40.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2
228 
1
156 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 228
59.4%
1 156
40.6%

Length

2024-05-11T01:44:18.306613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:18.628259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 228
59.4%
1 156
40.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
폐업
228 
영업
156 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 228
59.4%
영업 156
40.6%

Length

2024-05-11T01:44:18.973131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:19.332477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 228
59.4%
영업 156
40.6%

폐업일자
Date

MISSING 

Distinct192
Distinct (%)84.2%
Missing156
Missing (%)40.6%
Memory size3.1 KiB
Minimum1998-12-17 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T01:44:19.688861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:44:20.192360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing384
Missing (%)100.0%
Memory size3.5 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing384
Missing (%)100.0%
Memory size3.5 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing384
Missing (%)100.0%
Memory size3.5 KiB

전화번호
Text

MISSING 

Distinct242
Distinct (%)95.7%
Missing131
Missing (%)34.1%
Memory size3.1 KiB
2024-05-11T01:44:21.096507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.56917
Min length2

Characters and Unicode

Total characters2674
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique234 ?
Unique (%)92.5%

Sample

1st row02 2017785
2nd row02 4577307
3rd row02 4972575
4th row02
5th row02
ValueCountFrequency (%)
02 151
32.1%
070 22
 
4.7%
5176217 3
 
0.6%
455 3
 
0.6%
031 3
 
0.6%
517 2
 
0.4%
447 2
 
0.4%
6217 2
 
0.4%
4521329 2
 
0.4%
499 2
 
0.4%
Other values (270) 279
59.2%
2024-05-11T01:44:22.814657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 462
17.3%
2 394
14.7%
296
11.1%
4 278
10.4%
5 247
9.2%
7 220
8.2%
1 185
6.9%
6 167
 
6.2%
3 165
 
6.2%
8 143
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2378
88.9%
Space Separator 296
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 462
19.4%
2 394
16.6%
4 278
11.7%
5 247
10.4%
7 220
9.3%
1 185
7.8%
6 167
 
7.0%
3 165
 
6.9%
8 143
 
6.0%
9 117
 
4.9%
Space Separator
ValueCountFrequency (%)
296
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2674
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 462
17.3%
2 394
14.7%
296
11.1%
4 278
10.4%
5 247
9.2%
7 220
8.2%
1 185
6.9%
6 167
 
6.2%
3 165
 
6.2%
8 143
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2674
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 462
17.3%
2 394
14.7%
296
11.1%
4 278
10.4%
5 247
9.2%
7 220
8.2%
1 185
6.9%
6 167
 
6.2%
3 165
 
6.2%
8 143
 
5.3%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct161
Distinct (%)67.6%
Missing146
Missing (%)38.0%
Infinite0
Infinite (%)0.0%
Mean50.970714
Minimum0
Maximum612.61
Zeros8
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T01:44:23.552186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.3
Q110
median30
Q366
95-th percentile163.9035
Maximum612.61
Range612.61
Interquartile range (IQR)56

Descriptive statistics

Standard deviation73.114672
Coefficient of variation (CV)1.4344447
Kurtosis25.013639
Mean50.970714
Median Absolute Deviation (MAD)21.305
Skewness4.1747643
Sum12131.03
Variance5345.7553
MonotonicityNot monotonic
2024-05-11T01:44:24.706886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3 19
 
4.9%
10.0 9
 
2.3%
0.0 8
 
2.1%
33.0 7
 
1.8%
30.0 6
 
1.6%
9.0 5
 
1.3%
8.0 4
 
1.0%
66.0 4
 
1.0%
6.6 3
 
0.8%
25.0 3
 
0.8%
Other values (151) 170
44.3%
(Missing) 146
38.0%
ValueCountFrequency (%)
0.0 8
2.1%
1.6 1
 
0.3%
2.0 1
 
0.3%
2.25 1
 
0.3%
3.3 19
4.9%
3.6 1
 
0.3%
3.64 1
 
0.3%
4.0 1
 
0.3%
4.4 1
 
0.3%
5.0 2
 
0.5%
ValueCountFrequency (%)
612.61 1
0.3%
565.15 1
0.3%
323.9 1
0.3%
299.27 1
0.3%
248.3 1
0.3%
227.35 1
0.3%
211.97 1
0.3%
200.0 2
0.5%
198.0 1
0.3%
184.78 1
0.3%

소재지우편번호
Text

Distinct130
Distinct (%)34.1%
Missing3
Missing (%)0.8%
Memory size3.1 KiB
2024-05-11T01:44:25.722411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2493438
Min length6

Characters and Unicode

Total characters2381
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)13.4%

Sample

1st row143848
2nd row143817
3rd row143840
4th row143802
5th row143827
ValueCountFrequency (%)
143802 16
 
4.2%
143912 13
 
3.4%
143838 11
 
2.9%
143837 10
 
2.6%
143891 9
 
2.4%
143819 9
 
2.4%
143200 9
 
2.4%
143847 9
 
2.4%
143-200 8
 
2.1%
143709 7
 
1.8%
Other values (120) 280
73.5%
2024-05-11T01:44:27.094470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 492
20.7%
3 456
19.2%
4 448
18.8%
8 337
14.2%
9 141
 
5.9%
0 120
 
5.0%
2 108
 
4.5%
- 95
 
4.0%
7 71
 
3.0%
5 58
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2286
96.0%
Dash Punctuation 95
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 492
21.5%
3 456
19.9%
4 448
19.6%
8 337
14.7%
9 141
 
6.2%
0 120
 
5.2%
2 108
 
4.7%
7 71
 
3.1%
5 58
 
2.5%
6 55
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2381
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 492
20.7%
3 456
19.2%
4 448
18.8%
8 337
14.2%
9 141
 
5.9%
0 120
 
5.0%
2 108
 
4.5%
- 95
 
4.0%
7 71
 
3.0%
5 58
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 492
20.7%
3 456
19.2%
4 448
18.8%
8 337
14.2%
9 141
 
5.9%
0 120
 
5.0%
2 108
 
4.5%
- 95
 
4.0%
7 71
 
3.0%
5 58
 
2.4%

지번주소
Text

Distinct360
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T01:44:28.120260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length24.927083
Min length17

Characters and Unicode

Total characters9572
Distinct characters211
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique343 ?
Unique (%)89.3%

Sample

1st row서울특별시 광진구 능동 236-3
2nd row서울특별시 광진구 구의동 51-1
3rd row서울특별시 광진구 군자동 356-6 502호
4th row서울특별시 광진구 광장동 114-0 현대골든텔3차 509호
5th row서울특별시 광진구 구의동 254-10
ValueCountFrequency (%)
서울특별시 384
20.0%
광진구 384
20.0%
구의동 97
 
5.0%
중곡동 78
 
4.1%
자양동 74
 
3.8%
군자동 42
 
2.2%
광장동 38
 
2.0%
화양동 28
 
1.5%
능동 25
 
1.3%
1층 23
 
1.2%
Other values (499) 750
39.0%
2024-05-11T01:44:29.678581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1763
18.4%
구 488
 
5.1%
광 437
 
4.6%
1 414
 
4.3%
동 404
 
4.2%
진 400
 
4.2%
시 390
 
4.1%
서 389
 
4.1%
울 385
 
4.0%
특 384
 
4.0%
Other values (201) 4118
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5303
55.4%
Decimal Number 2034
 
21.2%
Space Separator 1763
 
18.4%
Dash Punctuation 354
 
3.7%
Uppercase Letter 37
 
0.4%
Open Punctuation 27
 
0.3%
Close Punctuation 27
 
0.3%
Lowercase Letter 16
 
0.2%
Other Punctuation 10
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 488
 
9.2%
광 437
 
8.2%
동 404
 
7.6%
진 400
 
7.5%
시 390
 
7.4%
서 389
 
7.3%
울 385
 
7.3%
특 384
 
7.2%
별 384
 
7.2%
자 118
 
2.2%
Other values (161) 1524
28.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
21.6%
A 5
13.5%
C 5
13.5%
I 5
13.5%
D 4
10.8%
K 2
 
5.4%
H 1
 
2.7%
F 1
 
2.7%
J 1
 
2.7%
P 1
 
2.7%
Other values (4) 4
10.8%
Decimal Number
ValueCountFrequency (%)
1 414
20.4%
2 325
16.0%
3 240
11.8%
4 213
10.5%
5 180
8.8%
6 176
8.7%
0 167
8.2%
7 113
 
5.6%
8 107
 
5.3%
9 99
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
t 2
12.5%
w 2
12.5%
o 2
12.5%
i 2
12.5%
r 2
12.5%
h 1
 
6.2%
l 1
 
6.2%
m 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 6
60.0%
/ 4
40.0%
Space Separator
ValueCountFrequency (%)
1763
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 354
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5303
55.4%
Common 4215
44.0%
Latin 54
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 488
 
9.2%
광 437
 
8.2%
동 404
 
7.6%
진 400
 
7.5%
시 390
 
7.4%
서 389
 
7.3%
울 385
 
7.3%
특 384
 
7.2%
별 384
 
7.2%
자 118
 
2.2%
Other values (161) 1524
28.7%
Latin
ValueCountFrequency (%)
B 8
14.8%
A 5
 
9.3%
C 5
 
9.3%
I 5
 
9.3%
D 4
 
7.4%
e 3
 
5.6%
K 2
 
3.7%
t 2
 
3.7%
w 2
 
3.7%
o 2
 
3.7%
Other values (14) 16
29.6%
Common
ValueCountFrequency (%)
1763
41.8%
1 414
 
9.8%
- 354
 
8.4%
2 325
 
7.7%
3 240
 
5.7%
4 213
 
5.1%
5 180
 
4.3%
6 176
 
4.2%
0 167
 
4.0%
7 113
 
2.7%
Other values (6) 270
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5303
55.4%
ASCII 4268
44.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1763
41.3%
1 414
 
9.7%
- 354
 
8.3%
2 325
 
7.6%
3 240
 
5.6%
4 213
 
5.0%
5 180
 
4.2%
6 176
 
4.1%
0 167
 
3.9%
7 113
 
2.6%
Other values (29) 323
 
7.6%
Hangul
ValueCountFrequency (%)
구 488
 
9.2%
광 437
 
8.2%
동 404
 
7.6%
진 400
 
7.5%
시 390
 
7.4%
서 389
 
7.3%
울 385
 
7.3%
특 384
 
7.2%
별 384
 
7.2%
자 118
 
2.2%
Other values (161) 1524
28.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

MISSING 

Distinct300
Distinct (%)97.1%
Missing75
Missing (%)19.5%
Memory size3.1 KiB
2024-05-11T01:44:30.725420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length34.268608
Min length22

Characters and Unicode

Total characters10589
Distinct characters219
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)94.5%

Sample

1st row서울특별시 광진구 천호대로 520 (군자동,(지층,2층))
2nd row서울특별시 광진구 능동로 283 (군자동,진성빌딩2층)
3rd row서울특별시 광진구 광나루로46길 39, 지하층 (구의동)
4th row서울특별시 광진구 자양로37가길 4 (구의동)
5th row서울특별시 광진구 뚝섬로 700 (자양동,202-2호)
ValueCountFrequency (%)
서울특별시 309
 
14.7%
광진구 309
 
14.7%
구의동 69
 
3.3%
중곡동 63
 
3.0%
자양동 58
 
2.8%
2층 54
 
2.6%
1층 46
 
2.2%
3층 41
 
2.0%
천호대로 33
 
1.6%
군자동 33
 
1.6%
Other values (534) 1087
51.7%
2024-05-11T01:44:32.561139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1793
 
16.9%
구 405
 
3.8%
동 395
 
3.7%
광 390
 
3.7%
, 354
 
3.3%
1 353
 
3.3%
진 323
 
3.1%
) 318
 
3.0%
( 318
 
3.0%
서 314
 
3.0%
Other values (209) 5626
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5895
55.7%
Decimal Number 1802
 
17.0%
Space Separator 1793
 
16.9%
Other Punctuation 356
 
3.4%
Close Punctuation 318
 
3.0%
Open Punctuation 318
 
3.0%
Dash Punctuation 45
 
0.4%
Uppercase Letter 44
 
0.4%
Lowercase Letter 16
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 405
 
6.9%
동 395
 
6.7%
광 390
 
6.6%
진 323
 
5.5%
서 314
 
5.3%
시 314
 
5.3%
로 311
 
5.3%
울 310
 
5.3%
특 309
 
5.2%
별 309
 
5.2%
Other values (168) 2515
42.7%
Uppercase Letter
ValueCountFrequency (%)
B 15
34.1%
A 8
18.2%
C 7
15.9%
K 2
 
4.5%
D 2
 
4.5%
Y 2
 
4.5%
L 1
 
2.3%
J 1
 
2.3%
H 1
 
2.3%
W 1
 
2.3%
Other values (4) 4
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 353
19.6%
3 259
14.4%
2 253
14.0%
0 209
11.6%
4 183
10.2%
5 155
8.6%
6 140
 
7.8%
8 113
 
6.3%
7 92
 
5.1%
9 45
 
2.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
18.8%
r 2
12.5%
w 2
12.5%
o 2
12.5%
t 2
12.5%
i 2
12.5%
h 1
 
6.2%
l 1
 
6.2%
m 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 354
99.4%
/ 2
 
0.6%
Space Separator
ValueCountFrequency (%)
1793
100.0%
Close Punctuation
ValueCountFrequency (%)
) 318
100.0%
Open Punctuation
ValueCountFrequency (%)
( 318
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5895
55.7%
Common 4633
43.8%
Latin 61
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 405
 
6.9%
동 395
 
6.7%
광 390
 
6.6%
진 323
 
5.5%
서 314
 
5.3%
시 314
 
5.3%
로 311
 
5.3%
울 310
 
5.3%
특 309
 
5.2%
별 309
 
5.2%
Other values (168) 2515
42.7%
Latin
ValueCountFrequency (%)
B 15
24.6%
A 8
13.1%
C 7
11.5%
e 3
 
4.9%
r 2
 
3.3%
K 2
 
3.3%
w 2
 
3.3%
o 2
 
3.3%
D 2
 
3.3%
t 2
 
3.3%
Other values (14) 16
26.2%
Common
ValueCountFrequency (%)
1793
38.7%
, 354
 
7.6%
1 353
 
7.6%
) 318
 
6.9%
( 318
 
6.9%
3 259
 
5.6%
2 253
 
5.5%
0 209
 
4.5%
4 183
 
3.9%
5 155
 
3.3%
Other values (7) 438
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5895
55.7%
ASCII 4693
44.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1793
38.2%
, 354
 
7.5%
1 353
 
7.5%
) 318
 
6.8%
( 318
 
6.8%
3 259
 
5.5%
2 253
 
5.4%
0 209
 
4.5%
4 183
 
3.9%
5 155
 
3.3%
Other values (30) 498
 
10.6%
Hangul
ValueCountFrequency (%)
구 405
 
6.9%
동 395
 
6.7%
광 390
 
6.6%
진 323
 
5.5%
서 314
 
5.3%
시 314
 
5.3%
로 311
 
5.3%
울 310
 
5.3%
특 309
 
5.2%
별 309
 
5.2%
Other values (168) 2515
42.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct119
Distinct (%)38.6%
Missing76
Missing (%)19.8%
Infinite0
Infinite (%)0.0%
Mean5005.8182
Minimum4900
Maximum5118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T01:44:33.241888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4900
5-th percentile4917
Q14967
median4998
Q35046.25
95-th percentile5116
Maximum5118
Range218
Interquartile range (IQR)79.25

Descriptive statistics

Standard deviation60.069336
Coefficient of variation (CV)0.011999904
Kurtosis-0.829171
Mean5005.8182
Median Absolute Deviation (MAD)45
Skewness0.18385013
Sum1541792
Variance3608.3251
MonotonicityNot monotonic
2024-05-11T01:44:33.760404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5116 21
 
5.5%
4969 15
 
3.9%
5026 12
 
3.1%
4971 7
 
1.8%
5044 7
 
1.8%
4920 6
 
1.6%
4996 6
 
1.6%
4987 6
 
1.6%
5021 5
 
1.3%
4997 5
 
1.3%
Other values (109) 218
56.8%
(Missing) 76
 
19.8%
ValueCountFrequency (%)
4900 2
0.5%
4903 2
0.5%
4904 1
 
0.3%
4908 1
 
0.3%
4909 3
0.8%
4910 1
 
0.3%
4912 2
0.5%
4914 1
 
0.3%
4915 1
 
0.3%
4916 1
 
0.3%
ValueCountFrequency (%)
5118 1
 
0.3%
5116 21
5.5%
5115 2
 
0.5%
5112 1
 
0.3%
5105 1
 
0.3%
5102 1
 
0.3%
5101 2
 
0.5%
5099 4
 
1.0%
5098 1
 
0.3%
5096 3
 
0.8%

사업장명
Text

Distinct379
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-11T01:44:34.615586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length7.7890625
Min length2

Characters and Unicode

Total characters2991
Distinct characters428
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique374 ?
Unique (%)97.4%

Sample

1st row(주)큰나무
2nd row삼아식품
3rd row(주)서흥인터내셔날
4th row주식회사 성우
5th row(주)대신농산진흥
ValueCountFrequency (%)
주식회사 62
 
12.9%
피어나 2
 
0.4%
노마드크라운 2
 
0.4%
주 2
 
0.4%
주)골드밸런스 2
 
0.4%
생활건강 2
 
0.4%
주)팜스레시피 2
 
0.4%
더나인인터내셔널(주 2
 
0.4%
주)대광푸드 2
 
0.4%
비디프 1
 
0.2%
Other values (401) 401
83.5%
2024-05-11T01:44:35.935725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 222
 
7.4%
) 173
 
5.8%
( 169
 
5.7%
이 112
 
3.7%
96
 
3.2%
스 90
 
3.0%
사 82
 
2.7%
식 76
 
2.5%
회 72
 
2.4%
에 61
 
2.0%
Other values (418) 1838
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2425
81.1%
Close Punctuation 173
 
5.8%
Open Punctuation 169
 
5.7%
Space Separator 96
 
3.2%
Uppercase Letter 70
 
2.3%
Lowercase Letter 35
 
1.2%
Decimal Number 13
 
0.4%
Other Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 222
 
9.2%
이 112
 
4.6%
스 90
 
3.7%
사 82
 
3.4%
식 76
 
3.1%
회 72
 
3.0%
에 61
 
2.5%
드 45
 
1.9%
리 39
 
1.6%
프 39
 
1.6%
Other values (370) 1587
65.4%
Uppercase Letter
ValueCountFrequency (%)
S 8
 
11.4%
C 6
 
8.6%
A 6
 
8.6%
E 5
 
7.1%
O 5
 
7.1%
R 5
 
7.1%
F 4
 
5.7%
T 4
 
5.7%
K 4
 
5.7%
P 3
 
4.3%
Other values (9) 20
28.6%
Lowercase Letter
ValueCountFrequency (%)
o 5
14.3%
e 4
11.4%
a 4
11.4%
r 3
8.6%
l 3
8.6%
m 3
8.6%
i 3
8.6%
n 2
 
5.7%
k 1
 
2.9%
b 1
 
2.9%
Other values (6) 6
17.1%
Decimal Number
ValueCountFrequency (%)
3 5
38.5%
1 3
23.1%
5 2
 
15.4%
8 1
 
7.7%
6 1
 
7.7%
4 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 6
60.0%
? 2
 
20.0%
' 1
 
10.0%
& 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2425
81.1%
Common 461
 
15.4%
Latin 105
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 222
 
9.2%
이 112
 
4.6%
스 90
 
3.7%
사 82
 
3.4%
식 76
 
3.1%
회 72
 
3.0%
에 61
 
2.5%
드 45
 
1.9%
리 39
 
1.6%
프 39
 
1.6%
Other values (370) 1587
65.4%
Latin
ValueCountFrequency (%)
S 8
 
7.6%
C 6
 
5.7%
A 6
 
5.7%
o 5
 
4.8%
E 5
 
4.8%
O 5
 
4.8%
R 5
 
4.8%
F 4
 
3.8%
e 4
 
3.8%
a 4
 
3.8%
Other values (25) 53
50.5%
Common
ValueCountFrequency (%)
) 173
37.5%
( 169
36.7%
96
20.8%
. 6
 
1.3%
3 5
 
1.1%
1 3
 
0.7%
5 2
 
0.4%
? 2
 
0.4%
8 1
 
0.2%
' 1
 
0.2%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2425
81.1%
ASCII 566
 
18.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 222
 
9.2%
이 112
 
4.6%
스 90
 
3.7%
사 82
 
3.4%
식 76
 
3.1%
회 72
 
3.0%
에 61
 
2.5%
드 45
 
1.9%
리 39
 
1.6%
프 39
 
1.6%
Other values (370) 1587
65.4%
ASCII
ValueCountFrequency (%)
) 173
30.6%
( 169
29.9%
96
17.0%
S 8
 
1.4%
. 6
 
1.1%
C 6
 
1.1%
A 6
 
1.1%
o 5
 
0.9%
E 5
 
0.9%
O 5
 
0.9%
Other values (38) 87
15.4%

최종수정일자
Date

Distinct371
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum1999-02-04 00:00:00
Maximum2024-05-07 15:59:10
2024-05-11T01:44:36.392419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:44:36.993608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
I
245 
U
139 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowI

Common Values

ValueCountFrequency (%)
I 245
63.8%
U 139
36.2%

Length

2024-05-11T01:44:37.810904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:38.358233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 245
63.8%
u 139
36.2%

데이터갱신일자
Date

Distinct206
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T01:44:38.889670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T01:44:39.431811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
유통전문판매업
384 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유통전문판매업
2nd row유통전문판매업
3rd row유통전문판매업
4th row유통전문판매업
5th row유통전문판매업

Common Values

ValueCountFrequency (%)
유통전문판매업 384
100.0%

Length

2024-05-11T01:44:40.022628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:40.432037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 384
100.0%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct270
Distinct (%)72.2%
Missing10
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean207381.3
Minimum205333.85
Maximum209775.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T01:44:40.943789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205333.85
5-th percentile205997.88
Q1206722.98
median207290.2
Q3207895
95-th percentile209506.55
Maximum209775.27
Range4441.4202
Interquartile range (IQR)1172.0219

Descriptive statistics

Standard deviation967.70265
Coefficient of variation (CV)0.0046662967
Kurtosis0.19500758
Mean207381.3
Median Absolute Deviation (MAD)576.59989
Skewness0.59913782
Sum77560605
Variance936448.43
MonotonicityNot monotonic
2024-05-11T01:44:41.556284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208394.416382167 11
 
2.9%
208124.549163942 9
 
2.3%
206445.881091692 8
 
2.1%
209341.763512372 7
 
1.8%
209637.078215509 6
 
1.6%
209679.58447051 4
 
1.0%
206792.027736463 4
 
1.0%
207388.308848516 4
 
1.0%
207259.013441038 4
 
1.0%
206232.014507331 4
 
1.0%
Other values (260) 313
81.5%
(Missing) 10
 
2.6%
ValueCountFrequency (%)
205333.847644836 1
 
0.3%
205355.556869942 3
0.8%
205474.334244286 1
 
0.3%
205670.658328053 1
 
0.3%
205694.961287967 2
0.5%
205698.399715521 1
 
0.3%
205718.881246721 1
 
0.3%
205845.946723741 1
 
0.3%
205886.288968009 1
 
0.3%
205926.271282258 1
 
0.3%
ValueCountFrequency (%)
209775.267831522 1
 
0.3%
209734.218553133 2
 
0.5%
209679.58447051 4
1.0%
209668.90120464 4
1.0%
209637.078215509 6
1.6%
209589.042548422 1
 
0.3%
209506.54940258 2
 
0.5%
209443.999340529 1
 
0.3%
209405.013333756 2
 
0.5%
209345.941766315 1
 
0.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct270
Distinct (%)72.2%
Missing10
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean449432.56
Minimum447397.2
Maximum451939.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-11T01:44:42.120805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447397.2
5-th percentile447812.92
Q1448398.39
median449394.51
Q3450334.42
95-th percentile451208.3
Maximum451939.55
Range4542.3474
Interquartile range (IQR)1936.0302

Descriptive statistics

Standard deviation1108.1634
Coefficient of variation (CV)0.0024656944
Kurtosis-1.0952404
Mean449432.56
Median Absolute Deviation (MAD)947.33497
Skewness0.08148973
Sum1.6808778 × 108
Variance1228026
MonotonicityNot monotonic
2024-05-11T01:44:42.756829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448165.279999905 11
 
2.9%
447812.924832297 9
 
2.3%
448922.881688102 8
 
2.1%
449088.693092774 7
 
1.8%
449832.485937903 6
 
1.6%
449910.157174809 4
 
1.0%
450583.054957622 4
 
1.0%
448313.517465433 4
 
1.0%
448563.154431644 4
 
1.0%
450174.133962364 4
 
1.0%
Other values (260) 313
81.5%
(Missing) 10
 
2.6%
ValueCountFrequency (%)
447397.201813494 1
0.3%
447531.204575557 1
0.3%
447557.714438067 1
0.3%
447600.339452762 1
0.3%
447602.807804094 1
0.3%
447627.439467293 1
0.3%
447702.802959138 1
0.3%
447709.173748072 1
0.3%
447721.83063999 1
0.3%
447730.416384887 1
0.3%
ValueCountFrequency (%)
451939.549247571 1
0.3%
451909.907837739 1
0.3%
451889.632305793 2
0.5%
451811.107176646 1
0.3%
451757.683824637 1
0.3%
451645.87067029 1
0.3%
451521.824189635 1
0.3%
451410.234980088 1
0.3%
451340.245210839 1
0.3%
451300.597880986 1
0.3%

위생업태명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
유통전문판매업
240 
<NA>
144 

Length

Max length7
Median length7
Mean length5.875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유통전문판매업
2nd row유통전문판매업
3rd row유통전문판매업
4th row유통전문판매업
5th row유통전문판매업

Common Values

ValueCountFrequency (%)
유통전문판매업 240
62.5%
<NA> 144
37.5%

Length

2024-05-11T01:44:43.221346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:43.654967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 240
62.5%
na 144
37.5%

남성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
334 
0
48 
1
 
2

Length

Max length4
Median length4
Mean length3.609375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 334
87.0%
0 48
 
12.5%
1 2
 
0.5%

Length

2024-05-11T01:44:44.087823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:44.472672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 334
87.0%
0 48
 
12.5%
1 2
 
0.5%

여성종사자수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
334 
0
49 
1
 
1

Length

Max length4
Median length4
Mean length3.609375
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 334
87.0%
0 49
 
12.8%
1 1
 
0.3%

Length

2024-05-11T01:44:45.107508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:45.614304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 334
87.0%
0 49
 
12.8%
1 1
 
0.3%

영업장주변구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
351 
주택가주변
 
20
기타
 
13

Length

Max length5
Median length4
Mean length3.984375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주택가주변
2nd row주택가주변
3rd row주택가주변
4th row주택가주변
5th row주택가주변

Common Values

ValueCountFrequency (%)
<NA> 351
91.4%
주택가주변 20
 
5.2%
기타 13
 
3.4%

Length

2024-05-11T01:44:46.240881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:46.674499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 351
91.4%
주택가주변 20
 
5.2%
기타 13
 
3.4%

등급구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
351 
기타
 
31
관리
 
2

Length

Max length4
Median length4
Mean length3.828125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
<NA> 351
91.4%
기타 31
 
8.1%
관리 2
 
0.5%

Length

2024-05-11T01:44:47.276409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:48.028643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 351
91.4%
기타 31
 
8.1%
관리 2
 
0.5%

급수시설구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
377 
상수도전용
 
7

Length

Max length5
Median length4
Mean length4.0182292
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도전용
2nd row상수도전용
3rd row<NA>
4th row<NA>
5th row상수도전용

Common Values

ValueCountFrequency (%)
<NA> 377
98.2%
상수도전용 7
 
1.8%

Length

2024-05-11T01:44:48.582894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:49.015975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 377
98.2%
상수도전용 7
 
1.8%

총인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
353 
0
 
31

Length

Max length4
Median length4
Mean length3.7578125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 353
91.9%
0 31
 
8.1%

Length

2024-05-11T01:44:49.462822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:49.790800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 353
91.9%
0 31
 
8.1%

본사종업원수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
304 
0
80 

Length

Max length4
Median length4
Mean length3.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 304
79.2%
0 80
 
20.8%

Length

2024-05-11T01:44:50.198658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:50.482777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 304
79.2%
0 80
 
20.8%

공장사무직종업원수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
304 
0
80 

Length

Max length4
Median length4
Mean length3.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 304
79.2%
0 80
 
20.8%

Length

2024-05-11T01:44:51.359871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:51.891722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 304
79.2%
0 80
 
20.8%

공장판매직종업원수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
304 
0
79 
1
 
1

Length

Max length4
Median length4
Mean length3.375
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 304
79.2%
0 79
 
20.6%
1 1
 
0.3%

Length

2024-05-11T01:44:52.246458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:52.637451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 304
79.2%
0 79
 
20.6%
1 1
 
0.3%

공장생산직종업원수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
304 
0
80 

Length

Max length4
Median length4
Mean length3.375
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 304
79.2%
0 80
 
20.8%

Length

2024-05-11T01:44:53.183312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:53.630668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 304
79.2%
0 80
 
20.8%

건물소유구분명
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
222 
자가
104 
임대
58 

Length

Max length4
Median length4
Mean length3.15625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 222
57.8%
자가 104
27.1%
임대 58
 
15.1%

Length

2024-05-11T01:44:54.075126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:54.468332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 222
57.8%
자가 104
27.1%
임대 58
 
15.1%

보증액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
345 
0
39 

Length

Max length4
Median length4
Mean length3.6953125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 345
89.8%
0 39
 
10.2%

Length

2024-05-11T01:44:54.847330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:55.222258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 345
89.8%
0 39
 
10.2%

월세액
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
345 
0
39 

Length

Max length4
Median length4
Mean length3.6953125
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 345
89.8%
0 39
 
10.2%

Length

2024-05-11T01:44:55.605749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:56.072371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 345
89.8%
0 39
 
10.2%

다중이용업소여부
Boolean

CONSTANT  MISSING 

Distinct1
Distinct (%)0.4%
Missing144
Missing (%)37.5%
Memory size900.0 B
False
240 
(Missing)
144 
ValueCountFrequency (%)
False 240
62.5%
(Missing) 144
37.5%
2024-05-11T01:44:56.372236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

시설총규모
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0.0
236 
<NA>
144 
38.35
 
1
64.0
 
1
70.88
 
1

Length

Max length5
Median length3
Mean length3.390625
Min length3

Unique

Unique4 ?
Unique (%)1.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 236
61.5%
<NA> 144
37.5%
38.35 1
 
0.3%
64.0 1
 
0.3%
70.88 1
 
0.3%
15.0 1
 
0.3%

Length

2024-05-11T01:44:56.785824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T01:44:57.290629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 236
61.5%
na 144
37.5%
38.35 1
 
0.3%
64.0 1
 
0.3%
70.88 1
 
0.3%
15.0 1
 
0.3%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing384
Missing (%)100.0%
Memory size3.5 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing384
Missing (%)100.0%
Memory size3.5 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing384
Missing (%)100.0%
Memory size3.5 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
030400003040000-113-1996-0037919960419<NA>3폐업2폐업19981217<NA><NA><NA>02 2017785<NA>143848서울특별시 광진구 능동 236-3<NA><NA>(주)큰나무2001-11-29 00:00:00I2018-08-31 23:59:59.0유통전문판매업207187.04132450381.388224유통전문판매업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
130400003040000-113-1998-0038019980516<NA>3폐업2폐업20001206<NA><NA><NA>02 4577307<NA>143817서울특별시 광진구 구의동 51-1<NA><NA>삼아식품2001-11-29 00:00:00I2018-08-31 23:59:59.0유통전문판매업208007.110143450092.523408유통전문판매업<NA><NA>주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
230400003040000-113-1998-0050119980901<NA>3폐업2폐업20041011<NA><NA><NA>02 4972575<NA>143840서울특별시 광진구 군자동 356-6 502호<NA><NA>(주)서흥인터내셔날2006-03-23 00:00:00I2018-08-31 23:59:59.0유통전문판매업206025.355191449576.340648유통전문판매업00주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
330400003040000-113-1999-0039419990115<NA>3폐업2폐업19990130<NA><NA><NA>02<NA>143802서울특별시 광진구 광장동 114-0 현대골든텔3차 509호<NA><NA>주식회사 성우1999-02-04 00:00:00I2018-08-31 23:59:59.0유통전문판매업209637.078216449832.485938유통전문판매업00주택가주변기타<NA><NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
430400003040000-113-1999-0041719990308<NA>3폐업2폐업20060427<NA><NA><NA>02<NA>143827서울특별시 광진구 구의동 254-10<NA><NA>(주)대신농산진흥2000-06-20 00:00:00I2018-08-31 23:59:59.0유통전문판매업207388.866126449037.467403유통전문판매업00주택가주변기타상수도전용<NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
530400003040000-113-1999-0048219990825<NA>3폐업2폐업20020914<NA><NA><NA>0222019011<NA>143819서울특별시 광진구 구의동 73-9 2,3,4,6층<NA><NA>(주)제너시스1999-08-25 00:00:00I2018-08-31 23:59:59.0유통전문판매업208025.827997449659.652758유통전문판매업00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
630400003040000-113-1999-0048619990827<NA>3폐업2폐업20021211<NA><NA><NA>02 4583335<NA>143888서울특별시 광진구 중곡동 97-5 2층<NA><NA>일원산업1999-08-27 00:00:00I2018-08-31 23:59:59.0유통전문판매업208026.193189450324.383235유통전문판매업10주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
730400003040000-113-1999-0050719991008<NA>3폐업2폐업20140418<NA><NA><NA>02 4989105<NA>143838서울특별시 광진구 군자동 467-24 (지층,2층)서울특별시 광진구 천호대로 520 (군자동,(지층,2층))4994대원제약(주)2003-01-03 00:00:00I2018-08-31 23:59:59.0유통전문판매업206634.556253450659.963773유통전문판매업00주택가주변기타<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
830400003040000-113-2000-0054820000208<NA>3폐업2폐업20121018<NA><NA><NA>02 4570835<NA>143914서울특별시 광진구 화양동 1 건국대 생명환경과학대 219호<NA><NA>(주)세포활성연구소2005-06-23 00:00:00I2018-08-31 23:59:59.0유통전문판매업206445.881092448922.881688유통전문판매업00기타관리<NA><NA>0000<NA><NA><NA>N0.0<NA><NA><NA>
930400003040000-113-2000-0055320000228<NA>3폐업2폐업20000722<NA><NA><NA>02 4568501<NA>143847서울특별시 광진구 능동 222-13<NA><NA>세방인사이드2000-07-26 00:00:00I2018-08-31 23:59:59.0유통전문판매업207070.392316450446.773797유통전문판매업00주택가주변기타상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총인원본사종업원수공장사무직종업원수공장판매직종업원수공장생산직종업원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
37430400003040000-113-2024-000042024-02-16<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3143-859서울특별시 광진구 자양동 855 이튼타워리버3차 A동 2504호서울특별시 광진구 능동로 18, A동 2504호 (자양동, 이튼타워리버3차)5096육봉상사2024-02-16 13:13:21I2023-12-01 23:08:00.0유통전문판매업205945.988201447862.351974<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37530400003040000-113-2024-000052024-02-23<NA>1영업/정상1영업<NA><NA><NA><NA><NA>5.9143-906서울특별시 광진구 중곡동 289-6 3층 301호서울특별시 광진구 용마산로 180, 3층 301호 (중곡동)4938고리(Gori))2024-04-05 15:50:14U2023-12-04 00:07:00.0유통전문판매업207563.534517451939.549248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37630400003040000-113-2024-000062024-03-12<NA>1영업/정상1영업<NA><NA><NA><NA><NA>2.0143-847서울특별시 광진구 능동 279-5 삼일빌딩 502동 5층 71호서울특별시 광진구 능동로 290, 삼일빌딩 502동 5층 71호 (능동)4985주식회사 제이앤디에프앤비2024-03-12 15:18:48I2023-12-02 23:04:00.0유통전문판매업206908.823781450372.530409<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37730400003040000-113-2024-000072024-03-21<NA>1영업/정상1영업<NA><NA><NA><NA><NA><NA>143-831서울특별시 광진구 구의동 593-15 성진프라자(305호내 334호)서울특별시 광진구 구의강변로 45, 성진프라자(305호내 334호) 3층 305호 (구의동)5049주식회사 카이푸드2024-03-21 15:32:00I2023-12-02 22:03:00.0유통전문판매업207995.957095448085.242459<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37830400003040000-113-2024-000082024-04-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>200.0143-805서울특별시 광진구 광장동 248-26 미궁365사옥서울특별시 광진구 천호대로141길 12, 3층 (광장동)4968주식회사 휴먼셀메디컬2024-04-24 09:34:34U2023-12-03 22:06:00.0유통전문판매업208967.32644449360.327334<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
37930400003040000-113-2024-000092024-04-18<NA>1영업/정상1영업<NA><NA><NA><NA><NA>15.0143-960서울특별시 광진구 구의동 225-1 사랑빌서울특별시 광진구 구의로 53-1, 1층 (구의동, 사랑빌)5037솔제이2024-04-18 14:41:56I2023-12-03 22:00:00.0유통전문판매업207890.341202448948.857997<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38030400003040000-113-2024-000102024-04-22<NA>1영업/정상1영업<NA><NA><NA><NA>164442079.92143-852서울특별시 광진구 자양동 219-5서울특별시 광진구 아차산로 360, 4층 402호 일부호 (자양동)5055주식회사 엘엠디알2024-04-22 14:59:41I2023-12-03 22:04:00.0유통전문판매업207233.695299448245.7076<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38130400003040000-113-2024-000112024-05-02<NA>1영업/정상1영업<NA><NA><NA><NA><NA>6.0143-806서울특별시 광진구 광장동 258-22서울특별시 광진구 광장로1길 18, 지하1층 (광장동)4966나루떡볶이2024-05-02 16:56:05I2023-12-05 00:04:00.0유통전문판매업208963.33333449486.876601<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38230400003040000-113-2024-000122024-05-03<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3143-837서울특별시 광진구 군자동 70-3 B1층 F-37호서울특별시 광진구 군자로 156, B1층 F-37호 (군자동)4998주식회사 이비티2024-05-03 16:34:51I2023-12-05 00:05:00.0유통전문판매업206686.595269450299.124811<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
38330400003040000-113-2024-000132024-05-07<NA>1영업/정상1영업<NA><NA><NA><NA><NA>3.3143-899서울특별시 광진구 중곡동 165-9 금용빌딩서울특별시 광진구 능동로 379, 2층 201호 (중곡동, 금용빌딩)4909에스에스바이오코리아2024-05-07 15:59:10I2023-12-05 00:09:00.0유통전문판매업207218.589539451215.011172<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>